公开(公告)号：WO2019050726A1

公开(公告)日：2019-03-14

申请号：PCT/US2018/048445

申请日：2018-08-29

Applicant: GENERAL ELECTRIC COMPANY

Inventor： RAMASWAMY, Sivaramanivas ,  MISHRA, Debasish ,  JAIN, Vasant, Kumar ,  RAMAN, Ashwin ,  GUBBA, Sreenivasa, Rao

IPC: G05B23/02 ,  F22B37/10

CPC classification number: G05B23/0254 ,  F22B37/10 ,  F22B37/22 ,  F22B37/38 ,  F22B37/42 ,  F23C1/08 ,  F23C1/10 ,  F23C1/12 ,  F23N5/242 ,  F23N2021/10

Abstract: According to some embodiments, a system (600) and method (400) are provided to estimate boiler tube (110) failures. The method comprises receiving fuel properties (S210) associated with a type of fuel being used to fire a boiler. The boiler comprises a plurality of tubes (130). Material properties (S220) associated with the plurality of tubes and operational data (S220a) associated with the boiler are also received (S220). A first model (408) based on the received fuel properties, the received material properties and operational data is determined. Tuning parameters (410) associated with the first model based on first validation data may be modified using Bayesian learning to determine a second model (412). Based on second operational data input into the second model, a likelihood of failure associated with the plurality of tubes is automatically determined and an alert associated with the boiler may be transmitted.